> ## Documentation Index
> Fetch the complete documentation index at: https://docs.luly.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Create a Vector Store

> Create a new vector store

Usage: Pass the vector\_id into your agent’s tools to enable the agent to use the vector store.

```json
"tools": [
    "KB-55e64dae-1585-4632-ae97-c909c288c6bc"
]
```

### Headers

<ParamField header="authorization" type="string" required={true}>
  Your API key for authentication.
</ParamField>

### Body

<ParamField body="name" type="string" required={true}>
  The name of the vector store. Make this a clear name that describes the contents of the store.
</ParamField>

<ParamField body="description" type="string" required={true}>
  A description of the vector store. This can be a longer description of the contents of the store, or what terms to use to search for vectors in the store.

  This is visible to the AI, so making it descriptive can help the AI understand when to use it or not.
</ParamField>

<ParamField body="text" type="string" required={true}>
  The full text document to be stored and vectorized.
</ParamField>

### Response

<ResponseField name="vector_id" type="string">
  The unique identifier for the vector store.

  Will start with “KB-”.
</ResponseField>

<ResponseExample>
  ```json Response
  {
    "vector_id": "KB-55e64dae-1585-4632-ae97-c909c288c6bc"
  }

  ```
</ResponseExample>